软件包:r-bioc-qusage(2.32.0-1)
r-bioc-qusage 的相关链接
Debian 的资源:
下载源码包 r-bioc-qusage:
- [r-bioc-qusage_2.32.0-1.dsc]
- [r-bioc-qusage_2.32.0.orig.tar.gz]
- [r-bioc-qusage_2.32.0-1.debian.tar.xz]
维护小组:
外部的资源:
- 主页 [bioconductor.org]
相似软件包:
qusage: Quantitative Set Analysis for Gene Expression
This package is an implementation the Quantitative Set Analysis for Gene Expression (QuSAGE) method described in (Yaari G. et al, Nucl Acids Res, 2013). This is a novel Gene Set Enrichment-type test, which is designed to provide a faster, more accurate, and easier to understand test for gene expression studies. qusage accounts for inter-gene correlations using the Variance Inflation Factor technique proposed by Wu et al. (Nucleic Acids Res, 2012). In addition, rather than simply evaluating the deviation from a null hypothesis with a single number (a P value), qusage quantifies gene set activity with a complete probability density function (PDF). From this PDF, P values and confidence intervals can be easily extracted. Preserving the PDF also allows for post-hoc analysis (e.g., pair-wise comparisons of gene set activity) while maintaining statistical traceability. Finally, while qusage is compatible with individual gene statistics from existing methods (e.g., LIMMA), a Welch-based method is implemented that is shown to improve specificity. For questions, contact Chris Bolen (cbolen1@gmail.com) or Steven Kleinstein (steven.kleinstein@yale.edu)
其他与 r-bioc-qusage 有关的软件包
|
|
|
|
-
- dep: r-api-4.0
- 本虚包由这些包填实: r-base-core
-
- dep: r-api-bioc-3.16
- 本虚包由这些包填实: r-bioc-biocgenerics
-
- dep: r-base-core (>= 4.2.2.20221110-1)
- GNU R core of statistical computation and graphics system
-
- dep: r-bioc-biobase
- base functions for Bioconductor
-
- dep: r-bioc-limma (>= 3.14)
- linear models for microarray data
-
- dep: r-cran-emmeans
- GNU R estimated marginal means, aka least-squares means
-
- dep: r-cran-fftw
- GNU R fast FFT and DCT Based on the FFTW Library
-
- dep: r-cran-nlme
- GNU R package for (non-)linear mixed effects models